New directions in distributed Nash equilibrium seeking based on monotone operator theory
Peng YI1
Tongyu WANG2
1.Department of Control Science & Engineering, Tongji University, Shanghai 201804, China2.Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 201804, China
摘要：There has been an increasing research interest in modeling, optimization and control of various multi-agent networks that have wide applications in industry, defense, security, and social areas, such as computing clusters, interconnected micro-grid systems, unmanned vessel swarms [1], power systems [2], multiple UAV systems [3] and sensor networks [4].For non-cooperative agents that only concern selfish profit-maximizing, the decision making problem can be modelled and solved with the help of game theory, while Nash equilibrium (NE) seeking is at the core to solve the non-cooperative multi-agent games [5-7].Distributed NE seeking methods are appealing compared with the center-based methods in large-scale networks due to its scalability, privacy protection, and adaptability.Recently, monotone operator theory is explored for distributed NE seeking, which is shown to provide an uniform framework for various algorithms in different scenarios.It has been gradually developing into a cutting-edge research field, with the prospect and necessity of future in-depth research.
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论文发表日期：2020-08-05
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：3( 333-335 )